RESEARCH EXPERIENCE
Over the past 10+ years, I’ve led and contributed to multidisciplinary research projects spanning academia, healthcare, and technology. I bring deep expertise in study design, statistical analysis, and translating findings into practical solutions.
Research Scientist
Webster University | Aug 2023 – Present
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Lead behavioral research projects focused on risky decision-making and stress in real-world contexts (e.g., alcohol-impaired driving, mobile interventions)
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Teach and develop data analysis curriculum (R, Jamovi, SPSS) and train students on reproducible workflows and applied statistics
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Mentor students in psychophysiological research and data storytelling
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Serve as a statistical consultant for interdisciplinary research in cross-functional teams
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Write grants, manage IRB protocols, and present data insights to academic and non-academic audiences
 
Key Tools: R, jamovi, SPSS, data visualization, survey platforms, qualitative interviewing, project management
Data Scientist
University of Missouri – Columbia | Aug 2020 – Aug 2023
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Built and applied machine learning and computational models to understand decision-making under alcohol intoxication
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Conducted behavioral data analysis using mixed-effects models, Bayesian inference, and classification methods in R
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Collaborated with multidisciplinary teams (e.g., clinicians, developers, policy researchers) on study design and data strategy
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Presented findings to national audiences and contributed to peer-reviewed publications with high real-world relevance
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Served as internal data consultant and trained team members on advanced statistical techniques
 
Key Tools: R, Bayesian modeling, ML workflows, survey data, longitudinal analysis
Quantitative Researcher – Cognitive Neuroscience of Stress Lab
Saint Louis University | Aug 2016 – Jun 2020
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Led end-to-end execution of multiple behavioral research projects using physiological and survey data (e.g., cortisol, impulsivity, smartphone-based tracking)
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Managed participant recruitment, protocol development, IRB approval, and data collection/cleaning
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Analyzed complex, longitudinal datasets using R and SPSS; built mixed models and visualized key patterns in stress-behavior interactions
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Supervised 10+ junior researchers and coordinated cross-departmental collaborations
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Delivered research presentations to academic, health, and public audiences
 
Key Tools: R, SPSS, Qualtrics, REDCap, data cleaning, multilevel models, Shiny (introductory), survey design
Clinical Research Coordinator
Washington University School of Medicine – Weight Mgmt & Eating Disorders Lab | May 2014 – Jul 2016
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Managed large-scale health behavior research studies across multiple sites
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Developed and maintained systems for tracking study compliance, data quality, and reporting for NIH grants
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Created audit systems, led internal hiring processes, and trained team members in research protocols
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Coordinated communication with stakeholders including funders, research partners, and clinical collaborators
 
Key Tools: Excel, REDCap, project documentation systems, compliance tracking, stakeholder coordination
Adjunct Instructor & Independent Study Mentor
Webster University & Saint Louis University | 2018–2023
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Designed and taught courses in statistics, research methods, and psychology with a focus on applied data skills
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Mentored students in independent projects using real datasets, emphasizing reproducibility and interpretation
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Transitioned courses to online platforms while maintaining interactivity and outcomes
 
Key Tools: R, Jamovi, pedagogical design
Research Assistant – Lifespan Wellness Lab
Webster University | May 2012 – May 2014
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Supported behavioral research on health behaviors and stress across the lifespan
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Conducted literature reviews, data collection, SPSS-based analysis, and participant management
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Assisted in grant writing and student research development
 
Key Tools: SPSS, Excel, survey platforms, early-stage protocol development


